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Wind-Photovoltaic-Storage Hybrid System Coordinated Optimal Control of Output Power

机译:风光蓄电混合系统协调的输出功率的最佳控制

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For large wind-photovoltaic-storage hybrid system, in order to maximize the match between output of the hybrid system and the scheduling plan, it is very important to coordinate the output power of wind, photovoltaic and energy storage system. Taking the uncertain of wind, photovoltaic generation and the power ramp constraint into account, a coordinated optimal control strategy is proposed. The aim of optimization model is to minimize the average expectation of power deviation and charge-discharge times of battery and maximize the average residual capacity of battery. The Non-dominated sorting genetic algorithm (NSGA-II) is used to solve the multi-objective problem for getting the alternative schemes set, and an evaluation method is given to acquire the best scheme. The feasibility of the present strategy is examined by simulation.
机译:对于大型风光光伏蓄电混合系统,为了最大化混合系统输出与调度计划之间的匹配,协调风,光伏和能量存储系统的输出功率非常重要。考虑到不确定风,光伏发电和功率斜坡约束,提出了一种协调的最佳控制策略。优化模型的目的是最大限度地减少电池电力偏差和充放电时间的平均预期,并最大限度地提高电池的平均剩余容量。非主导的分类遗传算法(NSGA-II)用于解决获取替代方案集的多目标问题,并且给出评估方法以获取最佳方案。通过模拟检查目前策略的可行性。

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